MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
7030
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:38 AM |
| Views | 22 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4997
935.2 IPS |
|
|
Image Classification (F16)
|
100% |
5246
981.7 IPS |
|
|
Image Classification (I8)
|
99% |
4480
838.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2116
35.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2107
35.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2193
36.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
33098
40.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
34735
42.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
33731
40.8 IPS |
|
|
Object Detection (F32)
|
100% |
3855
287.8 IPS |
|
|
Object Detection (F16)
|
100% |
4090
305.3 IPS |
|
|
Object Detection (I8)
|
97% |
3746
279.6 IPS |
|
|
Face Detection (F32)
|
100% |
14726
175.1 IPS |
|
|
Face Detection (F16)
|
97% |
16251
193.2 IPS |
|
|
Face Detection (I8)
|
96% |
14973
178.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
22529
174.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
23805
184.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
21498
166.7 IPS |
|
|
Style Transfer (F32)
|
100% |
74350
97.8 IPS |
|
|
Style Transfer (F16)
|
100% |
82476
108.5 IPS |
|
|
Style Transfer (I8)
|
100% |
81636
107.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9479
338.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10201
364.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9657
344.9 IPS |
|
|
Text Classification (F32)
|
100% |
902
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
761
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
806
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
996
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (I8)
|
99% |
908
16.7 IPS |
